Online Modeling With Tunable RBF Network

@article{Chen2013OnlineMW,
  title={Online Modeling With Tunable RBF Network},
  author={Hao Chen and Yu Gong and Xia Hong},
  journal={IEEE Transactions on Cybernetics},
  year={2013},
  volume={43},
  pages={935-947}
}
In this paper, we propose a novel online modeling algorithm for nonlinear and nonstationary systems using a radial basis function (RBF) neural network with a fixed number of hidden nodes. Each of the RBF basis functions has a tunable center vector and an adjustable diagonal covariance matrix. A multi-innovation recursive least square (MRLS) algorithm is… CONTINUE READING